![]() More discussions are being handled over the phone or video conferencing, plans being made through applications like Microsoft Teams. More individuals all over the world are working or attending school remotely. These types of summaries are more important now than ever. Knowing this, the model can represent the unstructured conversation better to craft an accurate summary. Other action words likely indicate some kind of intention, and dates or times a discussion and conclusion on plans. Words like any variation of “hello” or “good,” for example, might indicate that it is a greeting. “We want to mine those structures to teach the model what may be informative within the conversation for generating better summaries.” “Think about informal conversational structure: It has an opening, problem statements, discussions, a conclusion,” said Diyi Yang, an assistant professor in the School of Interactive Computing and a co-author on the paper. Using a subset of machine learning called natural language processing, the method identifies conversational structure using particular keywords. This digital solution, developed by Georgia Tech researchers and being presented in a paper this week at the 2020 Conference on Empirical Methods in Natural Language Processing, can assuage those concerns by generating summaries of informal conversations. Remembering key points of each discussion can at times be overwhelming, not to mention the stress caused by missing a meeting or seeing a couple hundred messages stack up while you were out for lunch. It’s an age-old problem: We are inundated with informal forms of communication like phone calls, remote video conferences, text conversations on group messaging platforms like Slack or Microsoft Teams. Constellations Center for Equity in ComputingĪ new tool that uses artificial intelligence is bringing notetaking up to speed and may help future digital assistants ease fears of ever missing a meeting again.School of Computational Science and Engineering.Office of Community and Student Engagement.
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